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Introduction: New Challenges in the Philosophy of Neuroscience
Part I. Explanation and Prediction
Modelling Bayesian Computation in the Brain: Unification, Explanation, and Constraints
Prediction and Topological Models in Neuroscience
Circuital and Developmental Explanations for the Cortex
Data Mining the Brain to Decode the Mind
Part II. Concepts and Tools
Evolving Concepts of "Hierarchy" in Systems Neuroscience
Fundamental Theories in Neuroscience: Why Neural Darwinism Encompasses Neural Reuse
Saving Data Analysis: Epistemic Friction and Progress in Neuroimaging Research
Neural Reuse and the Nature of Evolutionary Constraints
Behavior Considered as an Enabling Constraint
Part III. Metaphysical Challenges
Your Brain Is Like a Computer: Function, Analogy, Simplification
The Mind-Body Problem 3.0
Psychoneural Isomorphism: From Metaphysics to Robustness
Folk Psychological and Neurocognitive Ontologies
Part IV. Mechanistic explanations
Integration and the Mechanistic Triad: Producing, Underlying and Maintaining Mechanistic Explanations
Constraints on Localization and Decomposition as Explanatory Strategies in the Biological Sciences
Compare and Contrast: How to Assess the Completeness of Mechanistic Explanation
Part V Computation and Representations
(Mis)computation in Computational Psychiatry
What Is the Job of the Job Description Challenge? A Study in Esoteric and Exoteric Semantics
Categorically Perceiving Motor Actions
On the Possibility of Multimodal Bodily Immunity to Error Through Misidentification.

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